Tabla de Contenidos: “…-- Internet access -- It's A World Wide Web We Weave: -- Finding another web browser -- Locating the web browser commands -- Going undercover on the web -- Browsing tips -- Printing web pages -- Searching-the-web tips -- Get Stuff From A Web Page: -- Saving an image from a web page -- Copying text from a web page -- Sharing a web page -- Email Messages: -- Understanding email acronyms -- Finding an email program -- Hello, Other Gizmo: -- AutoPlay: -- Dealing with another device -- Manually summoning AutoPlay -- Setting AutoPlay options -- Connect Something To Your PC: -- Importing images -- Getting video into you PC -- Ripping music from a CD -- Images Digital: -- Image Resolution: -- Understanding resolution -- Setting resolution -- Digital camera tips -- Scanner: -- Introducing the scanner -- Scanning an image -- Picture Files: -- Storing pictures in Windows -- Viewing pictures in Windows -- Printing your digital photos -- Changing picture file formats -- Electronic Entertainment: -- PC Movies: -- Storing video in Windows -- Viewing a video -- Uploading a video to YouTube -- Sharing your videos -- Your PC Is A TV: -- Getting a TV tuner -- Watching Internet TV -- Your TV is a PC -- Your PC Is Your Stereo: -- Enjoying music from the stream -- Running Windows media player --…”

Tabla de Contenidos: “…16.1.3.1 Explicit Token Creation -- 16.1.3.2 Implicit Token Creation: Forking a New Path -- 16.1.3.3 Multiple Forks -- 16.1.3.4 Forking vs Spawning -- 16.1.4 Consuming Tokens -- 16.1.4.1 Multiple Forks -- 16.1.4.2 Flow Final -- 16.1.5 Joining at an Action -- 16.2 Timers and Timing Events -- 16.3 Object Flows/Edges -- 16.4 Advanced Topics -- 16.4.1 Weights -- 16.4.2 Stream -- 16.4.3 Send/Receive Messages/Events -- 16.4.4 Local Pre/Postconditions -- 16.5 Activity Diagrams -- 16.5.1 Activities -- 16.5.2 Invoking an Activity -- 16.5.3 Calling an Operation -- 17 Questions for Chapter 16 -- Answers for Chapter 16 -- 18 Behavior: State Machine Diagrams -- 18.1 What is a State and State Machine -- 18.1.1 States and Modes -- 18.1.2 Differences Between States -- 18.1.3 Qualitatively Different States -- 18.1.4 Naming States -- 18.1.5 Overlapping States -- 18.1.6 Finding States -- 18.2 Transitions -- 18.2.1 Events -- 18.2.2 Simple State Machine -- 18.2.3 Guard Conditions -- 18.2.4 Transition Effect -- 18.2.5 Transition Syntax -- 18.2.6 Ongoing Behavior -- 18.2.6.1 Implicit Behavior -- 18.2.6.2 Do Behavior -- 18.2.7 State Setup and Teardown -- 18.2.8 Exit/Entry Action Equivalents -- 18.2.9 Completion -- 18.2.10 Internal Transitions -- 18.3 State Machine Processing -- 18.3.1 Run-to-Completion -- 18.3.2 States and Pseudostates -- 18.3.3 Types of Transitions -- 18.3.4 State Diagrams and Machines -- 18.3.5 Hierarchy of States -- 18.3.6 States Contours -- 18.4 State vs Activity Semantics -- 19 Questions for Chapter 18 -- Answers for Chapter 18 -- Index -- Back Cover…”

Tabla de Contenidos: “…3.3.3 The with special form -- 3.4 Loops and iterations -- 3.4.1 Iterating with recursion -- 3.4.2 Tail function calls -- 3.4.3 Higher-order functions -- 3.4.4 Comprehensions -- 3.4.5 Streams -- Summary -- 4 Data abstractions -- 4.1 Abstracting with modules -- 4.1.1 Basic abstraction -- 4.1.2 Composing abstractions -- 4.1.3 Structuring data with maps -- 4.1.4 Abstracting with structs -- 4.1.5 Data transparency -- 4.2 Working with hierarchical data -- 4.2.1 Generating IDs -- 4.2.2 Updating entries -- 4.2.3 Immutable hierarchical updates -- 4.2.4 Iterative updates -- 4.2.5 Exercise: importing from a file -- 4.3 Polymorphism with protocols -- 4.3.1 Protocol basics -- 4.3.2 Implementing a protocol -- 4.3.3 Built-in protocols -- Summary -- 5 Concurrency primitives -- 5.1 Concurrency in BEAM -- 5.2 Working with processes -- 5.2.1 Creating processes -- 5.2.2 Message passing -- 5.3 Stateful server processes -- 5.3.1 Server processes -- 5.3.2 Keeping a process state -- 5.3.3 Mutable state -- 5.3.4 Complex states -- 5.3.5 Registered processes -- 5.4 Runtime considerations -- 5.4.1 A process is sequential -- 5.4.2 Unlimited process mailboxes -- 5.4.3 Shared-nothing concurrency -- 5.4.4 Scheduler inner workings -- Summary -- 6 Generic server processes -- 6.1 Building a generic server process -- 6.1.1 Plugging in with modules -- 6.1.2 Implementing the generic code -- 6.1.3 Using the generic abstraction -- 6.1.4 Supporting asynchronous requests -- 6.1.5 Exercise: refactoring the to-do server -- 6.2 Using GenServer -- 6.2.1 OTP behaviours -- 6.2.2 Plugging into GenServer -- 6.2.3 Handling requests -- 6.2.4 Handling plain messages -- 6.2.5 Other GenServer features -- 6.2.6 Process lifecycle -- 6.2.7 OTP-compliant processes -- 6.2.8 Exercise: GenServer-powered to-do server -- Summary -- 7 Building a concurrent system -- 7.1 Working with the mix project…”

Tabla de Contenidos: “…O'Shea Article: Selective Reduction of Cr(VI) in Chromium, Copper and Arsenic (CCA) Mixed Waste Streams Using UV/TiO2 Photocatalysis Reprinted from: Molecules 2015, 20(2), 2622-2635 http://www.mdpi.com/1420-3049/20/2/2622 -- José Colina-Márquez, Fiderman Machuca-Martínez and Gianluca Li Puma Article: Modeling the Photocatalytic Mineralization in Water of Commercial Formulation of Estrogens 17-? …”

Tabla de Contenidos: “…5 Enforcing EMFOTL -- 5.1 Obligations -- 5.2 Checking Satisfaction of MFOTL Formulae Under Assumptions -- 5.3 The Enforcement Algorithm -- 5.4 Correctness -- 6 Evaluation -- 7 Related Work -- 8 Conclusion -- References -- Predictive Monitoring with Strong Trace Prefixes -- 1 Introduction -- 2 Predictive Monitoring and Trace Theory -- 3 Strong Trace Prefixes -- 3.1 Modelling Correct Reorderings with Strong Trace Prefixes -- 4 Complexity of Predictive Monitoring -- 4.1 Non-deterministic Predictive Monitoring -- 4.2 Deterministic Predictive Monitoring -- 4.3 Ensuring Well-Formedness and Soundness -- 5 Strong Reads-From Prefixes -- 6 Strong Prefixes Versus Synchronization Preservation -- 7 Experimental Evaluation -- 7.1 Enhanced Predictive Power of Strong Prefixes -- 7.2 Strong Reads-From Prefixes v/s Sync-Preservation -- 8 Related Work and Conclusions -- References -- Case Studies and Tools -- Monitoring Unmanned Aircraft: Specification, Integration, and Lessons-Learned -- 1 Introduction -- 1.1 Related Work -- 2 Stream-Based Monitoring -- 3 Setup -- 3.1 Monitoring Applications -- 3.2 Development Cycle for the Monitor -- 4 Abstract Integration -- 4.1 Common Interfaces -- 5 Concrete Integration of Representative Specifications -- 6 Conclusion -- References -- Testing the Migration from Analog to Software-Based Railway Interlocking Systems -- 1 Introduction -- 2 Operational Setting -- 3 Bridging the Gap Between ReRIS and SwRIS -- 3.1 Simulations Extractor -- 3.2 Working with a Partial ReRIS Model -- 3.3 Mapping a ReRIS Simulation into an Abstract SwRIS Test -- 3.4 Test Execution -- 4 Related Works -- 5 Experimental Evaluation -- 6 Conclusions -- References -- soid: A Tool for Legal Accountability for Automated Decision Making -- 1 Introduction -- 1.1 Related Work -- 2 soid Tool Architecture and Usage -- 2.1 Example #1: Decision Tree Inference…”

Tabla de Contenidos: “…5.2 Designing your batch network -- 5.3 Job streams in an end-to-end environment -- 5.4 Moving JCL into the JS VSAM files -- 5.4.1 Pre-staging JCL tests: Description -- 5.4.2 Pre-staging JCL tests: Results tables -- 5.4.3 Pre-staging JCL conclusions -- 5.5 Recommendations -- 5.5.1 Pre-stage JCL -- 5.5.2 Optimize JCL fetch: LLA -- 5.5.3 Optimize JCL fetch: Exits -- 5.5.4 Best practices for tuning and usage of resources -- 5.5.5 Implement EQQUX004 -- 5.5.6 Review your tracker and workstation setup -- 5.5.7 Review initialization parameters -- 5.5.8 Review your z/OS UNIX System Services and JES tuning -- Chapter 6. …”

Tabla de Contenidos: “…Implications of Technology -- 5.4. A Stream of Projects -- 5.5. Strategic Relationship of Projects -- 5.6. …”

Tabla de Contenidos: “…-- 8.1.1 National and state laws will lead and guide the changes -- 8.1.2 The new data ecosystem will create and realign flows of money -- 8.1.3 Innovation and change will create friction and opportunity -- 8.1.4 It may be hard to see, but change is well underway -- 8.2 A day in the life of your data... well, actually two days -- 8.2.1 Data you create each day will not change -- 8.2.2 All the data we create in our daily lives: An example -- 8.2.3 New data streams from our roads and cars -- 8.3 What's different in 2025? …”

“…You will: Learn common architectures for real-time analytics Discover how event processing differs from real-time analytics Ingest event data from Apache Kafka into Apache Pinot Combine event streams with OLTP data using Debezium and Kafka Streams Write real-time queries against event data stored in Apache Pinot Build a real-time dashboard and order tracking app Learn how Uber, Stripe, and Just Eat use real-time analytics…”

“…You’ll also: Understand why lambda expressions are considered a kind of anonymous function Learn how lambda expressions and the behavior parameterization pattern let you write flexible and concise code Discover various operations and data processing patterns possible when using the Streams API Use Collector recipes to write queries that are more sophisticated Consider factors such as data size and the number of cores available when using streams in parallel Work with a practical refactoring example to bring lambda expressions and streams into focus…”

“…Wichtiger ist aber wohl die Unterstützung von Reactive Streams…”

“…Lesson 10, "Reactive Streams Redux," focuses on the Reactive Streams specification as a compatibility layer and shows how to use the Reactive Stream types as a mechanism for interoperability across open source projects like Akka Streams, Vert.x. …”

“…About the Technology Modern applications must react to streams of data such as user and system events, internal messages, and sensor input. …”

“…This stream is known today as dependency grammar (DG). …”

“…After demonstrating how to build web applications that take advantage of the new reactive paradigm using Kotlin in Lesson 3, Lesson 4 focuses on the Reactive Streams specification as a compatibility layer and shows how to use the Reactive Stream types as a mechanism for interoperability across OS projects like Akka Streams, Vert.x. …”